AI made code cheap. Trust is not. The old review ritual still pretends a careful human can keep up by reading harder. Then a green test suite lies to you, a 32k-line PR asks for a blessing, and a professional-looking diff hides the real risk. Quality was never living in the scroll bar. The real question is why the system should trust the change at all when attention runs out.
Most teams treat OpenAPI as documentation. This experiment treats it as an executable contract. Every endpoint, every response, every error is validated against the spec automatically. This post explains the testing concept, the metadata system, and the CI pipeline behind it.
The lie is acting like go-live is the full price. After launch: sprawl, upgrades, toy SaaS math vs margin, an eight-point kit, AI speed vs liability, and why skipping tests is luck not engineering.
I really like short videos about different tech topics that just show what's out there. So there was a nice video, which I will also link later in this blog post, about 15 futuristic databases and what is possible with them. There are things like a Git-like version control for SQL tables. There is a database where you can write JavaScript in it. And of course, there is a database that uses AI. Because ChatGPT is everywhere at the moment, I also used it to create the table in this blog post. So be careful; what you read on the World Wide Web is not always true, and there can be errors. Enjoy the overview of these futuristic databases.
Every day a new javascrip framework :tada: But this day we have one that is the top 1 trending repository (at 2021-11-24) at github :star-struck: from the creators of the react router peps (used by over 2.8 mil.). So what has Remix to over?
